What qualifies for the Browser & computer use category?
Entries include browser agents, UI automation, action validation, navigation policies, and computer-use workflows with publicly verifiable Jev usage.
Explore an awesome collection of 77 verified open-source Browser & computer use Jev projects on bestjev. Compare GitHub stars, languages, repositories, and implementations.
Computer-use platform with a Jev recipe where the model selects one bounded action candidate and the client validates it before execution.
Browser Use's ultrafast agent: Jev picks the operation and DOM element in one request; a small LLM only writes text when typing is needed.
Desktop automation runtime with a Jev skill that chooses UI operations and targets from accessibility-tree candidates.
Agent-computer platform with a runnable pull-request review lab where Jev judges whether findings are introduced, supported, and actionable.
Runtime perception layer that gives web and desktop agents Jev-style machine-readable state.
Optional Jev commands find, filter, and verify browser elements, then select bounded actions subject to confidence and write-authority checks.
把 Computer Use 的「下一步点哪里」交给 Jev(TypeSafe System One):Jev 从界面文字候选中选元素、动作、完成度与风险,Codex Computer Use 负责读取界面与执行,本地策略门槛拦截敏感操作。 Only send text, not screenshots..
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.
Apple-silicon computer-use toolkit that runs local typed-decision models to choose form-fill actions from macOS accessibility state.
5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
Browser use using Typesafe's Jev model.
WXT browser extension: Jev-powered page clutter removal with reusable template rules.
Jev selects the next UI operation from the targets and actions exposed by the current desktop state.
Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
Smart web search CLI for agents, backed by Jev. Saves a lot of tokens.
A fast browser-use skill powered by local LLMs via single-token reflexes. Fast, local-first, zero hallucinations.
Desktop browser where Jev selects executable browser actions and a separate text model handles planning.
Indexed browser automation where Jev selects a control and Playwright executes it.
Say it, and your Mac does it. A computer-use harness on Jev that reads the screen through Accessibility. Fast, no vision model.
TypeSafe Jev action selection inside Codex Computer Use.
Jev chooses camera moves, emphasis, and timing from a rendered Playwright recording and bounded direction candidates.
🧹 Fun project: a Chrome extension that asks a tiny AI decision model (TypeSafe Jev) "is this DOM element an ad?" and pops it off the page. BYOK, no backend, not a real ad blocker.
Give an agent real hands and eyes: undetectable, DOM-independent GUI automation. A $4 USB-HID microcontroller for hands, a vision grounding model for eyes, any LLM for a brain.
Chrome extension: vibe-check your X posts with TypeSafe's Jev before you hit Post.
Jev judges whether a cached computer-use workflow is semantically reusable for the current request.
macOS voice and text control where Jev selects UI actions in an observe–act–verify loop.
Isolated Playwright Chromium driven by Jev. A coding agent (or you) runs a.
ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.
Experimental browser agent powered by FX, Jev, and Vercel AI Gateway. Bring your own API key to read pages and automate browser tasks.
Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.
⚡ Millisecond-level Viral Hook Telemetry & Co-pilot for Social Media (Chrome Extension + JEV System 1).
English full-duplex voice control for macOS with OpenAI Realtime, native Accessibility, and Jev.
Jev for Chrome: drives the tab you are looking at with TypeSafe Jev, a sub-second decision model. Community port of browser-use/jev-ultrafast, not affiliated with TypeSafe.
Native macOS automation loop where Jev chooses the next GUI action from OCR, accessibility, and OmniParser observations.
Chrome extension where Jev scores and labels X posts with typed judgments and a live local cost counter.
Chrome extension that cleans up your LinkedIn feed: hides engagement bait, self-promo and off-topic posts using Jev, TypeSafe AI's typed classification model — and explains every decision.
Hand the browser work off: an MCP server where a decision model drives the page for your agent, so a flow costs one tool call instead of a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay. Speaks CDP to your Chrome.
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics.
Filter any live Twitch chat with Jev: a bring-your-own-key Chrome extension.
Social research agent for Instagram, TikTok, and LinkedIn: Jev repeatedly chooses the next concrete operation and target, while socai executes it in a local Chrome session.
2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model.
Chrome extension where Jev labels X posts by content type and judges which posts should be hidden.
在 X 的时间线上,给每条帖子标出它想让你干什么。判断来自 Jev,一个只返回概率、不生成文本的模型。
CDP browser library using batched Jev Choice questions to select operations and DOM-derived targets.
TypeScript browser agent for ego lite: Jev Ultrafast indexed actions, TypeSafe Jev decisions, persistent observe/act CLI. No Chrome or Playwright.
Browser-agent integration where Jev selects typed actions for research and classification workflows.
AskJev — Jev autopilot for any website + guard on irreversible clicks (TypeSafe System One, not Claude).
Browser agent where Jev selects actions, an LLM reads and plans, and answers cite page evidence.
Hybrid browser harness: an LLM turns goals into verifiable subgoals, Jev chooses each action and DOM field, Playwright acts.
Experimental Playwright library for natural-language browser automation, using Jev to turn page state and instructions into typed actions.
Drives a real browser with Jev making every decision and Vercel's agent-browser performing every action, with a benchmark.
MacOS computer use driven by Jev (TypeSafe System One) as the decision maker.
Playwright testing tool where Jev selects actions and page elements and judges verification claims, while code executes browser operations.
YouTube extension that asks Jev for the sponsor probability of each caption segment and paints the result on the seek bar without a crowd database.
Browser automation MCP server where Jev chooses the next bounded browser action for a coding agent.
Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
Evidence-driven frontend QA built on Jev Ultrafast and Browser Harness, with a synthetic todo demo.
Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.
Two Jev agents compete in click-only browser games through Browser Use.
Jev-powered semantic browser use.
One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev.
A Chrome extension that brings TypeSafe's Jev to X.com to analyze posts as you browse.
Almond-fastloop: Almond's browser computer-use rig (Chrome DevTools + TypeSafe Jev), and the Browser Use Olympics benchmark it is measured on.
Parallel web search for terminals and agents, with local Chromium and Jev-guided exploration.
Claude Code and Codex browser skill that asks Jev to choose the next browser action.
Bounded browser and desktop automation where Jev picks one next step while code owns perception, execution, and verification.
Push-to-talk voice orb for autonomous browser control using Jev and Metal Whisper.
Bounded exploratory browser testing with Jev, deterministic assertions, and replayable evidence.
Browser Use Olympics by Almond: one prompt, five events, one clock. Plus fast loop, a ~200-line browser computer-use agent (Chrome DevTools + TypeSafe Jev).
Local browser automation UI that uses TypeSafe Jev to choose bounded page actions and a text model only for field values.
Chrome extension that uses Jev to annotate articles and posts on X and Threads.
Jev-augmented Playwright MCP proxy — page-state triage, prompt-injection shielding, goal-based snapshot pruning, risky-action gating. Drop-in wrapper around @playwright/mcp for any coding agent.
Jev-powered browser MCP for LLM agents — ~300ms decisions, no LLM tokens in the loop. Benchmark vs Playwright MCP included.
Open-source Chrome extension that filters AI-generated prose and ads with Jev.
Chrome extension that re-ranks Google results with TypeSafe Jev and folds away sales pages and SEO filler.
Browser and computer-use projects apply Jev to decisions made while operating websites, desktops, and user interfaces.
Entries include browser agents, UI automation, action validation, navigation policies, and computer-use workflows with publicly verifiable Jev usage.
Entries include browser agents, UI automation, action validation, navigation policies, and computer-use workflows with publicly verifiable Jev usage.
Start with the documented use case, repository activity, primary language, license, and visible Jev implementation. GitHub stars are a dated discovery signal, not a quality score.
bestjev checks public repositories, project-authored documentation, code, demos, and other visible evidence. Always confirm current behavior and compatibility in the upstream project.
bestjev grounds this category in named primary sources: Official Jev documentation · Public GitHub repositories.
“Typed outputs that software can act on.”— TypeSafe AI